Brenton Keller
Papers
5
Total Citations
158
H-Index
5
About
Brenton Keller is a pioneering researcher at the intersection of robotics, medical imaging, and ophthalmic surgery. His work focuses on developing autonomous and cooperative robotic systems guided by intraoperative Optical Coherence Tomography (OCT) to overcome the fundamental limits of human dexterity and visual acuity in microsurgery. Keller’s major contributions include creating the first OCT-guided robotic system for Deep Anterior Lamellar Keratoplasty (DALK), a challenging corneal transplant procedure. His most cited paper (74 citations) introduces a reinforcement learning framework for robotic ophthalmic microsurgery, enabling machines to learn delicate surgical maneuvers from human demonstration. He also developed a robotically-aligned OCT scanner capable of automatically imaging both stationary and moving eyes, eliminating the need for chinrests and trained photographers. With over 158 total citations across his key works, Keller has demonstrated that real-time image guidance and cooperative robotic assistance can significantly enhance surgical precision and safety. His research on teleoperation from arbitrary viewpoints further expands the potential for 3D imaging to transform surgical visualization, positioning him as a leading innovator in next-generation, image-guided ophthalmic robotics.
Research Focus
Key Achievements
Top Papers
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- 5Teleoperating robots from arbitrary viewpoints in surgical contexts13 citations · 2017